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Goldman Sachs: Anthropic could reach $685 billion in revenue by 2030

Goldman Sachs projects that Anthropic could generate about $685 billion in revenue by 2030, driven by an anticipated $900 billion buildout in AI and a potential $1.4 trillion IPO as soon as next week.

Goldman Sachs: Anthropic could reach $685 billion in revenue by 2030

Goldman Sachs estimates that Anthropic could generate roughly $685 billion in revenue by 2030, a level that would place the AI lab among the largest companies globally. The projection accompanies reporting that Anthropic is preparing for a potential $1.4 trillion initial public offering (IPO), which could occur as soon as next week.

Key numbers and planned spending

According to the Goldman Sachs projection, the $685 billion figure would be more than 130 times Anthropic’s expected 2025 sales level. The company is also planning to spend about $900 billion on its AI buildout, a scale of investment that would underpin rapid expansion in capacity and product offerings.

Leadership and influence

Such large revenues and investment would raise the profile and influence of CEO Dario Amodei within the technology and financial sectors. Amodei’s positions on effective altruism and existential risks—topics he has emphasized—could gain greater institutional backing if Anthropic grows on the trajectory Goldman Sachs outlines.

Debate over AI safety and political reactions

Anthropic’s rise is intensifying debates around AI safety and the philosophies that guide some AI leaders. The Trump administration has condemned effective altruism, while industry figures including Mark Zuckerberg of Meta and Jensen Huang of Nvidia have criticized Amodei, labeling him a “doomer” for his more cautious assessments of AI risk.

Why this matters

If the forecast proves accurate, Anthropic’s economic weight would reshape market dynamics in AI and amplify the influence of its leadership in discussions about AI governance and safety. The size of potential investment, the scale of a possible IPO, and the company’s public positions on risk will all be important factors in how the AI sector and related policy debates evolve in the coming years.

(Information based on reporting by Brendan Ruberry.)